PROGRAM
Mon 17 | Tue 18 | Wed 19 | Thu 20 | Fri 21 | |
---|---|---|---|---|---|
9:15-9:45 | 9:50 Opening | R. Fioresi | X. Wang | O. Ceyhan | G. Sergeant-Perthuis |
10:00-10:30 | F. Barbaresco | B. Dherin | Z. Zhang | T. Luo | Y. Frégier |
10:45-11:15 | Coffee break | Coffee break | Coffee break | Coffee break | Coffee break |
11:15-11:45 | F. Vaccarino | O. Zaghen | R. Duits | P. Tardivel | E. Tron |
12:00-12:30 | X. Gu | F. Zanchetta | N. van den Berg | C. A. Alcalde | J. Slovák |
13:00 | Lunch | Lunch | Lunch | Lunch | Lunch - Closure |
14:00-18:00 | Free discussion | Free discussion | Free afternoon | Free discussion | |
18:00-18:15 | N. Kowalzig | F. D'Andrea | G. Dito | ||
18:20-18:35 | E. Latini | S. Fu | M. Xiang | ||
18:40-18:55 | I. Androulidakis | P. Aschieri | M. Stienon | ||
19:30 | Dinner | Dinner | Dinner | Dinner | Dinner |
Carlos A. Alcalde : Radar detection and quantum theory
Frédéric Barbaresco : Lie Groups Thermodynamics and Foliations
Structures of Metriplectic Flow
for Machine Learning on Lie groups and Thermodynamics-Informed Neural Networks
Özgür Ceyhan : Tropical Geometry in Backpropagation
Benoît Dherin: Why neural networks find (geometrically) simple solutions
Remco Duits: Geometric Learning via data-efficient PDE-G-CNNs: Training of Association Fields
Rita Fioresi: The Geometry of Deep Learning
Yaël Frégier: Transitioning from mathematics to deep learning
Xianfeng David Gu: A Geometric View of Optimal Transport for Generative Models
Tao Luo: Structure and Gradient Flow Near Global Minima of Neural Networks
Grégoire Sergeant-Perthuis: Optimization over functors and application to Bayesian inference and statistical mechanics
Jan Slovák: Geometry of Diffusion Tensor Imaging
Patrick Tardivel: The solution path of the Sorted L One Penalized Estimation (SLOPE)
Eliot Tron: Manifold Learning via Foliations and Knowledge Transfer
Francesco Vaccarino: Learning and not learning with topology
Nicky van den Berg: Geodesic Tracking via Data-Driven Geometry for Vascular Tree Tracking
Xiaoping Wang: Topology optimization using generative models
Olga Zaghen: Nonlinear Sheaf Diffusion in Graph Neural Networks
Ferdinando Zanchetta: Sheaves and deeper geometric structures on graphs
Zhen Zhang: An Enhanced Gromov-Wasserstein Barycenter Method for Graph-based clustering
Iakovos Androulidakis: Hypoellipticity and the Helffer-Nourigat conjecture
Paolo Aschieri: Noncommutative differential geometry and Laplacians on graphs
Francesco D'Andrea: Optimal (Quantum) Transport and Noncommutative Geometry
Giuseppe Dito: ħ-expansion of Wightman distributions
Siqi Fu: Deformation of Complex and CR structures
Niels Kowalzig: Higher structures on homology groups
Emanuele Latini: Higher conformal Yang–Mills energy
Mathieu Stienon: Formal geometry of groupoids
Maosong Xiang: Cohomology of regular Courant algebroids